Machine Learning: ECML-98 - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540644170, 9783540697817

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Using lattice-based framework as a tool for feature extraction

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026700 ◽

1998 ◽

pp. 304-309 ◽

Cited By ~ 3

Author(s):

Engelbert Mephu Nguifo ◽

Patrick Njiwoua

Keyword(s):

Feature Extraction

Induction of recursive program schemes

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026692 ◽

1998 ◽

pp. 214-225 ◽

Cited By ~ 4

Author(s):

Ute Schmid ◽

Fritz Wysotzki

Keyword(s):

Recursive Program

Naive bayesian classifier committees

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026690 ◽

1998 ◽

pp. 196-207 ◽

Cited By ~ 15

Author(s):

Zijian Zheng

Keyword(s):

Bayesian Classifier ◽

Naïve Bayesian Classifier ◽

Naive Bayesian ◽

Naive Bayesian Classifier ◽

Naïve Bayesian

Composing functions to speed up reinforcement learning in a changing world

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026708 ◽

1998 ◽

pp. 370-381 ◽

Cited By ~ 3

Author(s):

Chris Drummond

Keyword(s):

Reinforcement Learning ◽

Speed Up ◽

Changing World

Combining classifiers by constructive induction

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026688 ◽

1998 ◽

pp. 178-189 ◽

Cited By ~ 11

Author(s):

João Gama

Keyword(s):

Constructive Induction ◽

Combining Classifiers

Part-of-speech tagging using decision trees

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026668 ◽

1998 ◽

pp. 25-36 ◽

Cited By ~ 17

Author(s):

Lluís Màrquez ◽

Horacio Rodríguez

Keyword(s):

Decision Trees ◽

Part Of Speech Tagging ◽

Part Of Speech ◽

Speech Tagging

A general convergence method for Reinforcement Learning in the continuous case

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026710 ◽

1998 ◽

pp. 394-405 ◽

Cited By ~ 2

Author(s):

Rémi Munos

Keyword(s):

Reinforcement Learning ◽

Continuous Case ◽

Convergence Method ◽

General Convergence

Automatic acquisition of lexical knowledge from sparse and noisy data

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026670 ◽

1998 ◽

pp. 43-48

Author(s):

René Schneider

Keyword(s):

Noisy Data ◽

Lexical Knowledge ◽

Automatic Acquisition

Learning to classify x-ray images using relational learning

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026672 ◽

1998 ◽

pp. 55-60

Author(s):

Claude Sammutl ◽

Tatjana Zrimec

Keyword(s):

Relational Learning ◽

X Ray

Feature subset selection in text-learning

Machine Learning: ECML-98 - Lecture Notes in Computer Science ◽

10.1007/bfb0026677 ◽

1998 ◽

pp. 95-100 ◽

Cited By ~ 43

Author(s):

Dunja Mladenić

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Text Learning

Machine Learning: ECML-98 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Using lattice-based framework as a tool for feature extraction

Induction of recursive program schemes

Naive bayesian classifier committees

Composing functions to speed up reinforcement learning in a changing world

Combining classifiers by constructive induction

Part-of-speech tagging using decision trees

A general convergence method for Reinforcement Learning in the continuous case

Automatic acquisition of lexical knowledge from sparse and noisy data

Learning to classify x-ray images using relational learning

Feature subset selection in text-learning

Machine Learning: ECML-98 - Lecture Notes in Computer Science
Latest Publications